Citation:

Dr. B. Sakthivel, 2021. "Low Power Design of Geometric Mean Filter Using GWO Pruning" ESP Journal of Engineering & Technology Advancements  1(1): 17-21.

Abstract:

Geometric mean filter is commonly used in image processing application to remove Gaussian noise. In filter stage requires more number addition and multiplication process .Pruning is an approximation technique used to achieve a low power processing .In this work, Grey wolf optimized (GWO) geometric mean filter designed for low power image processing application. To validate proposed technique in real time scenario, the images with Gaussian noise are considered and GWO-Pruned 16-bit multipliers are utilized to perform multiplication between 16-bit pixels. . The proposed method gives the highest PSNR and computation cost than conventional pruning technique. On an average, the proposed technique has improved the PSNR rate of quality of 8.213 % and achieves energy requirement reduction of 19.36 %, respectively.

References:

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Keywords:

Filter, Geometric, Low Power